Working environment | Methods | Simulation | Sample size and sparsity (revision) | Application | Data preparation | Data exploration | Transfer learning

Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation | Abstract | Full text

Penalised regression with multiple sources of prior effects | Abstract | Full text (open access)

Predicting correlated outcomes from molecular data | Abstract | Full text (open access)

Installation | Initialisation | Simulation | Application | Reference

Predictive and interpretable models via the stacked elastic net | Abstract | Full text (open access)

Installation

Title | Authors | Abstract | Reference

Introduction | Installation | Example | References

Introduction | Simulation 1 | Simulation 2 | Application 1 | Application 2

Installation | Initialisation | Standard lasso | Paired lasso | Methods | Reference

Sparse classification with paired covariates | Abstract | Full text (open access)

Initialisation | Methods | Simulations | External applications | Internal application | Further research | Acknowledgements | Session information

Processing | Analysis | Results | Figures

Graphical abstract | Examples | (not included)

Simulation | Application

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Initialisation | Preparation | Analysis | Figures

Initialisation | Scope | Model fitting | Hypothesis testing | Application

Initialisation | Test of association | Decomposition | Genome-wide analysis